Enterprise Architecture’s Identity Crisis

Author(s):  
Paul R. Taylor

This chapter outlines the rational foundations of the enterprise architecture discipline to date and describes ways and situations in which the traditional approaches of enterprise architecture fail to account for a number of contemporary market and economic situations and organizational behaviors. It characterizes new methods and approaches loosely based on systems thinking, with examples from the Australian e-government experience, and argues that the discipline must re-invent itself to incorporate a post-rational perspective to stay relevant. The chapter concludes with narratives of how the new enterprise architecture must engage with business to stay relevant over the next decade and beyond.

2017 ◽  
pp. 2199-2220
Author(s):  
Paul R. Taylor

This chapter outlines the rational foundations of the enterprise architecture discipline to date and describes ways and situations in which the traditional approaches of enterprise architecture fail to account for a number of contemporary market and economic situations and organizational behaviors. It characterizes new methods and approaches loosely based on systems thinking, with examples from the Australian e-government experience, and argues that the discipline must re-invent itself to incorporate a post-rational perspective to stay relevant. The chapter concludes with narratives of how the new enterprise architecture must engage with business to stay relevant over the next decade and beyond.


2016 ◽  
pp. 1727-1747
Author(s):  
Paul R. Taylor

This chapter outlines the rational foundations of the enterprise architecture discipline to date and describes ways and situations in which the traditional approaches of enterprise architecture fail to account for a number of contemporary market and economic situations and organizational behaviors. It characterizes new methods and approaches loosely based on systems thinking, with examples from the Australian e-government experience, and argues that the discipline must re-invent itself to incorporate a post-rational perspective to stay relevant. The chapter concludes with narratives of how the new enterprise architecture must engage with business to stay relevant over the next decade and beyond.


2016 ◽  
pp. 339-389
Author(s):  
Marc Rabaey

Complex systems interact with an environment where a high degree of uncertainty exists. To reduce uncertainty, enterprises (should) create intelligence. This chapter shows that intelligence has two purposes: first, to increase and to assess (thus to correct) existing knowledge, and second, to support decision making by reducing uncertainty. The chapter discusses complex adaptive systems. Enterprises are not only complex systems; they are also most of the time dynamic because they have to adapt their goals, means, and structure to survive in the fast evolving (and thus unstable) environment. Crucial for enterprises is to know the context/ecology in which they act and operate. The Cynefin framework makes the organization and/or its parts aware of the possible contexts of the organization and/or its parts: simple, complicated, complex, chaotic, or disordered. It is crucial for the success of implementing and using EA that EA is adapted to function in an environment of perpetual change. To realize this, the chapter proposes and elaborates a new concept of EA, namely Complex Adaptive Systems Thinking – Enterprise Architecture (CAST-EA).


2012 ◽  
Vol 1 (2) ◽  
pp. 188-218 ◽  
Author(s):  
Kees de Bot ◽  
HuiPing Chan ◽  
Wander Lowie ◽  
Rika Plat ◽  
Marjolijn Verspoor

If language processing and development is viewed as a dynamic process in which all subsystems interact over time, then some basic assumptions behind more traditional approaches to language analysis are problematic: new methods of analysis and modeling are needed to supplement and partly replace existing paradigms. This argument is illustrated with two examples from recent studies. After a brief history of the reasons for a paradigm shift and an explanation of the role of variability in development, the first example study presents a variability-based approach to reaction time measurements in which spectral analyses of variability found during repeated measures of the same experiment may indicate moments of behavioral change. Then the principles of dynamic modeling are explained, illustrated with vocabulary developmental data. The second recent study shows how the vocabulary development of three learners is may be dynamically modeled using a logistic model.


Author(s):  
I. I. Filipovich

The article reviews innovative approaches to a foreign language learning which employs multimedia and computer technologies. It proves the necessity of the new methods introduction and their difference from traditional approaches. The article shows some advantages of innovative methods and some difficulties of its integration into the learning process. It also defines the role of the Language teacher in the renewed learning process.


2017 ◽  
pp. 487-502
Author(s):  
Asif Qumer Gill

Adaptive enterprise architecture capability plays an important role in enabling complex enterprise transformations. One of the key challenges when establishing an adaptive enterprise architecture capability is identifying the enterprise context and the scope of the enterprise architecture. The objective of this paper is to develop and present an adaptive enterprise service system (AESS) conceptual model, which is a part of The Gill Framework for Adaptive Enterprise Service Systems. This model has been developed using a “Design Research” approach. The AESS conceptual model assimilates agility, service, and living systems thinking (following multi-agent system modelling) for describing and analyzing the enterprise context and scope for establishing an adaptive enterprise architecture capability. The target audience of this AESS model driven approach includes both, enterprise architecture researchers and practitioners.


Author(s):  
Marc Rabaey

Complex systems interact with an environment where a high degree of uncertainty exists. To reduce uncertainty, enterprises (should) create intelligence. This chapter shows that intelligence has two purposes: first, to increase and to assess (thus to correct) existing knowledge, and second, to support decision making by reducing uncertainty. The chapter discusses complex adaptive systems. Enterprises are not only complex systems; they are also most of the time dynamic because they have to adapt their goals, means, and structure to survive in the fast evolving (and thus unstable) environment. Crucial for enterprises is to know the context/ecology in which they act and operate. The Cynefin framework makes the organization and/or its parts aware of the possible contexts of the organization and/or its parts: simple, complicated, complex, chaotic, or disordered. It is crucial for the success of implementing and using EA that EA is adapted to function in an environment of perpetual change. To realize this, the chapter proposes and elaborates a new concept of EA, namely Complex Adaptive Systems Thinking – Enterprise Architecture (CAST-EA).


Author(s):  
C. Lawrence

Enterprise architecture (EA) has primarily a business focus, but it involves the kind of systems thinking typically associated with information technology (IT). Any one of its component architectures could theoretically drive a business transformation. The example of process architecture is chosen because of its implications for other architectural domains; because of the link between customer-centricity and process-centricity; and because inherited attitudes to process desperately need overhaul. An imagined diagnostic in a financial services company provides context. The diagnostic recommends a holistic alternative to current approaches to process. It articulates an explicit logical meta-model from which it draws out a number of key concepts implementable as generic physical constructs. The resulting process architecture can drive radical business transformation given the right program management, governance, and, above all, sponsorship.


2011 ◽  
Vol 15 (S3) ◽  
pp. 337-363 ◽  
Author(s):  
Lutz Kilian ◽  
Robert J. Vigfusson

It is customary to suggest that the asymmetry in the transmission of oil price shocks to real output is well established. Much of the empirical work cited as being in support of asymmetry, however, has not directly tested the hypothesis of an asymmetric transmission of oil price innovations. Moreover, many of the papers quantifying these asymmetric responses are based on censored oil price VAR models that have recently been shown to be invalid. Other studies are based on dynamic correlations in the data and do not distinguish between cause and effect. Recently, several new methods of testing and quantifying asymmetric responses of U.S. real economic activity to positive and negative oil price innovations have been developed. We put this literature into perspective, contrast it with more traditional approaches, highlight directions for further research, and reconcile some seemingly conflicting results reported in the literature.


Bioanalysis ◽  
2021 ◽  
Author(s):  
Melanie Anderson

Thousands of clinical trials all over the world were stopped, disrupted or delayed while countries grappled to contain the pandemic and research resources were redeployed. The long-term effects of the turbulence caused by the pandemic have yet to be fully understood, but it should already be clear that the increased focus on participant needs and on the logistical challenges of current models are not likely to fade away quickly. This disruption is opening doors for rethinking traditional approaches to clinical trial conduct – including decentralizing site visits, introducing new methods of sample collection, rethinking matrix selection, reducing sample volumes and collaborating on device development. These approaches reduce participant burden while improving critical trial data.


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